A. M. Gabbi, G. Kolling, V. Fischer, L. R. Pereira, T. R. Tomich, F. S. Machado, M. M. Campos, M. V. G. B. Silva, C. S. Cunha, M. K. R. Santos, C. Pimentel
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引用次数: 6
Abstract
ABSTRACT The trial aimed to investigate the use of infrared thermography (IRT) to estimate enteric methane production in dairy heifers. The study lasted 5 days with 36 Gyr, Gyr x Holstein and Holstein heifers. The sulphur hexafluoride (SF6) tracer technique was used to estimate methane emission. Superficial body temperature was obtained with an infrared camera (FLIR® T300) on each side of the animals at 20-minute intervals during eight hours after the morning feeding. Data were analysed using Pearson’s correlation analysis and multivariate regression analysis, as well as two multivariate tests to investigate the relationship with methane emission. The analysis considered all the data together (total) and three subsets: initial (0–150 minutes), middle (150–300) and final period (300–442 minutes after feeding). Based on R2 and canonical correlations, the best predictive capacity of methane emission by IRT occurred in the initial and final periods after feeding. Infrared thermography may be a good estimator of methane emission using the SF6-tracer technique when considering the flanks’ temperature.
摘要本试验旨在研究利用红外热像仪(IRT)来估计奶牛肠道甲烷产量。该研究对36 Gyr、Gyr x Holstein和Holstein小母牛进行了为期5天的研究。六氟化硫(SF6)示踪技术用于估算甲烷排放量。在早上喂食后的8小时内,用红外相机(FLIR®T300)每隔20分钟在动物两侧测量体表体温。使用Pearson相关分析和多元回归分析以及两个多元检验对数据进行分析,以调查与甲烷排放的关系。该分析综合考虑了所有数据(总计)和三个子集:初期(0–150分钟)、中期(150–300分钟)和末期(喂食后300–442分钟)。基于R2和典型相关性,IRT对甲烷排放的最佳预测能力出现在喂食后的初始和最后阶段。在考虑侧面温度时,使用SF6示踪技术,红外热成像可以很好地估算甲烷排放。
期刊介绍:
The Quantitative InfraRed Thermography Journal (QIRT) provides a forum for industry and academia to discuss the latest developments of instrumentation, theoretical and experimental practices, data reduction, and image processing related to infrared thermography.